Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology

Context Tangwang Mingmu granule (TWMM), a traditional Chinese medicine, has been widely used in the treatment of diabetic retinopathy (DR), the most common microvascular complication in diabetes mellitus. Objective To establish a method to select target compounds from herbs for a pharmacokinetic stu...

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Main Authors: Yucheng Wang, Beibei Xue, Xiaoli Wang, Qilong Wang, Erwei Liu, Xiaopeng Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Pharmaceutical Biology
Subjects:
Online Access:http://dx.doi.org/10.1080/13880209.2021.1979051
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spelling doaj-1cd2b6af5bdc437d82e6931a9c3cefbf2021-10-04T13:57:00ZengTaylor & Francis GroupPharmaceutical Biology1388-02091744-51162021-01-015911334135010.1080/13880209.2021.19790511979051Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacologyYucheng Wang0Beibei Xue1Xiaoli Wang2Qilong Wang3Erwei Liu4Xiaopeng Chen5State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineState Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese MedicineContext Tangwang Mingmu granule (TWMM), a traditional Chinese medicine, has been widely used in the treatment of diabetic retinopathy (DR), the most common microvascular complication in diabetes mellitus. Objective To establish a method to select target compounds from herbs for a pharmacokinetic study using network pharmacology, which could be applied in clinical settings. Materials and methods First, UPLC/Q Exactive Q-Orbitrap and GCMS 2010 were used to determine the non-volatile and volatile ingredients of TWMM. Based on the identified compounds, network pharmacology was used to screen the key compounds and targets of TWMM in the treatment of DR. Based on the compound-target-pathway network and identification of components emigrant into blood, the potential compound markers in vivo were chosen. Then, Sprague-Dawley (SD) rats were administrated of TWMM at a 9.6 g/kg dose to investigating pharmacokinetic parameters using the UPLC-QQQ-MS. Results Ninety and forty-five compounds were identified by UPLC-MS and GC-MS, respectively. Based on the network pharmacology, nine compounds with a degree value above 15 were screened and implied that these compounds are the most active in DR treatment. Moreover, criteria of degree value greater than 7 were applied, and PTGS2, NOS2, AKT1, ESR1, TNF, and MAPK14 were inferred as the core targets in treating DR. After identification of components absorbed into blood, luteolin and formononetin were selected and used to investigate the pharmacokinetic parameters of TWMM after its oral administration. Conclusions The reported strategy provides a method that combines ingredient profiling, network pharmacology, and pharmacokinetics to determine luteolin and formononetin as the pharmacokinetic markers of TWMM. This strategy provides a clinically relevant methodology that allows for the screening of pharmacokinetic markers in Chinese medicines.http://dx.doi.org/10.1080/13880209.2021.1979051chemical profilingmarkerherb medicineluteolinformononetin
collection DOAJ
language English
format Article
sources DOAJ
author Yucheng Wang
Beibei Xue
Xiaoli Wang
Qilong Wang
Erwei Liu
Xiaopeng Chen
spellingShingle Yucheng Wang
Beibei Xue
Xiaoli Wang
Qilong Wang
Erwei Liu
Xiaopeng Chen
Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
Pharmaceutical Biology
chemical profiling
marker
herb medicine
luteolin
formononetin
author_facet Yucheng Wang
Beibei Xue
Xiaoli Wang
Qilong Wang
Erwei Liu
Xiaopeng Chen
author_sort Yucheng Wang
title Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
title_short Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
title_full Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
title_fullStr Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
title_full_unstemmed Pharmacokinetic study of Tangwang Mingmu granule for the management of diabetic retinopathy based on network pharmacology
title_sort pharmacokinetic study of tangwang mingmu granule for the management of diabetic retinopathy based on network pharmacology
publisher Taylor & Francis Group
series Pharmaceutical Biology
issn 1388-0209
1744-5116
publishDate 2021-01-01
description Context Tangwang Mingmu granule (TWMM), a traditional Chinese medicine, has been widely used in the treatment of diabetic retinopathy (DR), the most common microvascular complication in diabetes mellitus. Objective To establish a method to select target compounds from herbs for a pharmacokinetic study using network pharmacology, which could be applied in clinical settings. Materials and methods First, UPLC/Q Exactive Q-Orbitrap and GCMS 2010 were used to determine the non-volatile and volatile ingredients of TWMM. Based on the identified compounds, network pharmacology was used to screen the key compounds and targets of TWMM in the treatment of DR. Based on the compound-target-pathway network and identification of components emigrant into blood, the potential compound markers in vivo were chosen. Then, Sprague-Dawley (SD) rats were administrated of TWMM at a 9.6 g/kg dose to investigating pharmacokinetic parameters using the UPLC-QQQ-MS. Results Ninety and forty-five compounds were identified by UPLC-MS and GC-MS, respectively. Based on the network pharmacology, nine compounds with a degree value above 15 were screened and implied that these compounds are the most active in DR treatment. Moreover, criteria of degree value greater than 7 were applied, and PTGS2, NOS2, AKT1, ESR1, TNF, and MAPK14 were inferred as the core targets in treating DR. After identification of components absorbed into blood, luteolin and formononetin were selected and used to investigate the pharmacokinetic parameters of TWMM after its oral administration. Conclusions The reported strategy provides a method that combines ingredient profiling, network pharmacology, and pharmacokinetics to determine luteolin and formononetin as the pharmacokinetic markers of TWMM. This strategy provides a clinically relevant methodology that allows for the screening of pharmacokinetic markers in Chinese medicines.
topic chemical profiling
marker
herb medicine
luteolin
formononetin
url http://dx.doi.org/10.1080/13880209.2021.1979051
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